Emissions and power demand in optimal energy retrofit scenarios of the Finnish building stock by 2050

被引:29
|
作者
Hirvonen, Janne [1 ]
Heljo, Juhani [2 ]
Jokisalo, Juha [1 ,3 ]
Kurvinen, Antti [2 ]
Saari, Arto [2 ]
Niemela, Tuomo [4 ]
Sankelo, Paula [5 ]
Kosonen, Risto [1 ,3 ,6 ]
机构
[1] Aalto Univ, Dept Mech Engn, Helsinki, Finland
[2] Univ Tampere, Dept Civil Engn, Tampere, Finland
[3] TalTech, Smart City Ctr Excellence, Tallinn, Estonia
[4] Granlund Consulting Oy, Helsinki, Finland
[5] Finnish Environm Inst, Helsinki, Finland
[6] Nanjing Tech Univ, Coll Urban Construct, Nanjing, Peoples R China
基金
芬兰科学院; 欧洲研究理事会;
关键词
Building stock; Greenhouse gas emissions; Building energy modelling; Heat pump; District heating; Optimisation; OPTIMAL RENOVATION SOLUTIONS; DOMINANT CONTRIBUTION; COMPREHENSIVE MODEL; GERMAN ELECTRICITY; HEAT SECTOR; SYSTEM; CLIMATE; PERFORMANCE; TECHNOLOGIES; FINLAND;
D O I
10.1016/j.scs.2021.102896
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Finland and the European Union aim to reduce CO2 emissions by 80-100 % before 2050. This requires drastic changes in all emissions-generating sectors. In the building sector, all new buildings are required to be nearly zero energy buildings. However, 79 % of buildings in Finland were built before 2000, meaning that they lack heat recovery and suffer from badly insulated facades. This study presents four large-scale building energy retrofit scenarios, showing the emission reduction potential in the whole Finnish building stock. Six basic building types with several age categories and heating systems were used to model the energy demand in the building stock. Retrofitted building configurations were chosen using simulation-based multi-objective optimisation and combined according to a novel building stock model. After large-scale building retrofits, the national district heating demand was reduced by 25-63 % compared to the business as usual development scenario. Despite a large increase in the number of heat pumps in the system, retrofits in buildings with direct electric heating can prevent the rise of national electricity consumption. CO2 emissions in the different scenarios were reduced by 50-75 % by 2050 using current emissions factors.
引用
下载
收藏
页数:22
相关论文
共 50 条
  • [41] Bottom-up building stock retrofit based on levelized cost of saved energy
    Oberegger, Ulrich Filippi
    Pernetti, Roberta
    Lollini, Roberto
    ENERGY AND BUILDINGS, 2020, 210
  • [42] Prediction Model of Global Demand for Iron Source by Utility of Stock Hypothesis Verification of Prediction Power and Outlook for Demand to 2050
    Kozawa, Sumio
    Tsukihashi, Fumitaka
    TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN, 2010, 96 (12): : 706 - 713
  • [44] An evaluation of the retrofit net zero building performances: life cycle energy, emissions and cost
    Hu, Ming
    BUILDING RESEARCH AND INFORMATION, 2023, 51 (02): : 179 - 191
  • [45] Scenarios of energy reduction potential of zero energy building promotion in the Asia-Pacific region to year 2050
    Zhang, Shicong
    Xu, Wei
    Wang, Ke
    Feng, Wei
    Athienitis, Andreas
    Hua, Ge
    Okumiya, Masaya
    Yoon, Gyuyoung
    Cho, Dong woo
    Iyer-Raniga, Usha
    Mazria, Edward
    Lyu, Yanjie
    ENERGY, 2020, 213
  • [46] Analyzing energy flexibility by demand response in a Finnish district heated apartment building
    Ju, Yuchen
    Jokisalo, Juha
    Kosonen, Risto
    Kauppi, Ville
    Janssen, Philipp
    COLD CLIMATE HVAC & ENERGY 2021, 2021, 246
  • [47] Energy demand and carbon emissions under different development scenarios for Shanghai, China
    Li, Li
    Chen, Changhong
    Xie, Shichen
    Huang, Cheng
    Cheng, Zhen
    Wang, Hongli
    Wang, Yangjun
    Huang, Haiying
    Lu, Jun
    Dhakal, Shobhakar
    ENERGY POLICY, 2010, 38 (09) : 4797 - 4807
  • [48] Dynamic Geospatial Modeling of the Building Stock To Project Urban Energy Demand
    Breunig, Hanna M.
    Huntington, Tyler
    Jin, Ling
    Robinson, Alastair
    Scown, Corinne D.
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2018, 52 (14) : 7604 - 7613
  • [49] Energy consumption and GHG emissions from China's freight transport sector: Scenarios through 2050
    Hao, Han
    Geng, Yong
    Li, Weiqi
    Guo, Bin
    ENERGY POLICY, 2015, 85 : 94 - 101
  • [50] Spatiotemporal upscaling errors of building stock clustering for energy demand simulation
    Eggimann, Sven
    Vulic, Natasa
    Rudisuli, Martin
    Mutschler, Robin
    Orehounig, Kristina
    Sulzer, Matthias
    ENERGY AND BUILDINGS, 2022, 258